PMML Ensemble Predictor

The PMML Ensemble Predictor node takes a pmml document containing an ensemble of other models and executes all
of them on the given data. The results from all models are then aggregated using a method specified in the ensemble
model. The output contains a column for each prediction of the single models (if set in the settings)
and one column with the combined result.
Note that ensembles of ensembles are not supported with the exception of Gradient Boosted Trees which are treated base model.
It's on the other hand not possible to predict Gradient Boosted Trees models with this predictor, please use the PMML Predictor node
or the Gradient Boosted Trees Predictor (PMML) nodes for this task.

Options

Return individual predictions

Determines whether the output contains
one column for each model's prediction

Multiple model method as column name

Determines whether the column with the combined
predictions should be named after the combination method

Tie break

Determines what is output when there is a tie between two classes in the combination
methods majority vote and weighted majority vote

Input Ports

A PMML Model containing an ensemble mining model

Data to be predicted

Output Ports

Prediction of every single model and the aggregated ensemble prediction

Workflows

Installation

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